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README.md

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+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- starsnatched/MemGPT-DPO
+- starsnatched/MemGPT-3
+- starsnatched/MemGPT
+base_model:
+- starsnatched/MemGPT-DPO
+- starsnatched/MemGPT-3
+- starsnatched/MemGPT
+---
+
+# Memgpt-3x7b-MOE
+
+Memgpt-3x7b-MOE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [starsnatched/MemGPT-DPO](https://huggingface.co/starsnatched/MemGPT-DPO)
+* [starsnatched/MemGPT-3](https://huggingface.co/starsnatched/MemGPT-3)
+* [starsnatched/MemGPT](https://huggingface.co/starsnatched/MemGPT)
+
+## 🧩 Configuration
+
+```yaml
+base_model: liminerity/Memgpt-slerp-7b-5
+gate_mode: hidden
+dtype: bfloat16
+experts:
+  - source_model: starsnatched/MemGPT-DPO
+    positive_prompts:
+    - "versatile"
+    - "helpful"
+    - "factual"
+    - "integrated"
+    - "adaptive"
+    - "comprehensive"
+    - "balanced"
+    negative_prompts:
+    - "specialized"
+    - "narrow"
+    - "focused"
+    - "limited"
+    - "specific"
+
+  - source_model: starsnatched/MemGPT-3
+    positive_prompts:
+    - "analytical"
+    - "accurate"
+    - "logical"
+    - "knowledgeable"
+    - "precise"
+    - "calculate"
+    - "compute"
+    - "solve"
+    - "work"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+    - "tell me"
+    - "assistant"
+    negative_prompts:
+    - "creative"
+    - "abstract"
+    - "imaginative"
+    - "artistic"
+    - "emotional"
+    - "mistake"
+    - "inaccurate"
+
+  - source_model: starsnatched/MemGPT
+    positive_prompts:
+    - "instructive"
+    - "clear"
+    - "directive"
+    - "helpful"
+    - "informative"
+    negative_prompts:
+    - "exploratory"
+    - "open-ended"
+    - "narrative"
+    - "speculative"
+    - "artistic"
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "liminerity/Memgpt-3x7b-MOE"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

added_tokens.json

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+{
+  "<|im_end|>": 32000
+}

config.json

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+{
+  "_name_or_path": "liminerity/Memgpt-slerp-7b-5",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 3,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "router_aux_loss_coef": 0.001,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_moe_config.yml

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+
+base_model: liminerity/Memgpt-slerp-7b-5
+gate_mode: hidden
+dtype: bfloat16
+experts:
+  - source_model: starsnatched/MemGPT-DPO
+    positive_prompts:
+    - "versatile"
+    - "helpful"
+    - "factual"
+    - "integrated"
+    - "adaptive"
+    - "comprehensive"
+    - "balanced"
+    negative_prompts:
+    - "specialized"
+    - "narrow"
+    - "focused"
+    - "limited"
+    - "specific"
+
+  - source_model: starsnatched/MemGPT-3
+    positive_prompts:
+    - "analytical"
+    - "accurate"
+    - "logical"
+    - "knowledgeable"
+    - "precise"
+    - "calculate"
+    - "compute"
+    - "solve"
+    - "work"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+    - "tell me"
+    - "assistant"
+    negative_prompts:
+    - "creative"
+    - "abstract"
+    - "imaginative"
+    - "artistic"
+    - "emotional"
+    - "mistake"
+    - "inaccurate"
+
+  - source_model: starsnatched/MemGPT
+    positive_prompts:
+    - "instructive"
+    - "clear"
+    - "directive"
+    - "helpful"
+    - "informative"
+    negative_prompts:
+    - "exploratory"
+    - "open-ended"
+    - "narrative"
+    - "speculative"
+    - "artistic"

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tokenizer_config.json

@@ -0,0 +1,51 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}